{"id":"https://openalex.org/W2041274473","doi":"https://doi.org/10.1109/sdf.2013.6698259","title":"Fusing odometry and sparse UWB radar measurements for indoor slam","display_name":"Fusing odometry and sparse UWB radar measurements for indoor slam","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2041274473","doi":"https://doi.org/10.1109/sdf.2013.6698259","mag":"2041274473"},"language":"en","primary_location":{"id":"doi:10.1109/sdf.2013.6698259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sdf.2013.6698259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046786405","display_name":"Tobias Deibler","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tobias Deibler","raw_affiliation_strings":["Chair of Information Technologies, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","Dept. of Inf. Technol., Friedrich Alexander Univ. Erlangen-Nurnberg Erlangen, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Information Technologies, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Dept. of Inf. Technol., Friedrich Alexander Univ. Erlangen-Nurnberg Erlangen, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019918338","display_name":"J\u00f6rn Thielecke","orcid":"https://orcid.org/0000-0001-6671-6341"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jorn Thielecke","raw_affiliation_strings":["Chair of Information Technologies, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","Dept. of Inf. Technol., Friedrich Alexander Univ. Erlangen-Nurnberg Erlangen, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Information Technologies, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Dept. of Inf. Technol., Friedrich Alexander Univ. Erlangen-Nurnberg Erlangen, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046786405"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.1025604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.9029567241668701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7402709722518921},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7402275204658508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6858475208282471},{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.665205180644989},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.6033244132995605},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5778999328613281},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5141039490699768},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4747636318206787},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.47067102789878845},{"id":"https://openalex.org/keywords/visual-odometry","display_name":"Visual odometry","score":0.4643998444080353},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4497404992580414},{"id":"https://openalex.org/keywords/ultra-wideband","display_name":"Ultra-wideband","score":0.4144928455352783},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07813277840614319}],"concepts":[{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.9029567241668701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7402709722518921},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7402275204658508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858475208282471},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.665205180644989},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.6033244132995605},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5778999328613281},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5141039490699768},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4747636318206787},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.47067102789878845},{"id":"https://openalex.org/C5799516","wikidata":"https://www.wikidata.org/wiki/Q4110915","display_name":"Visual odometry","level":3,"score":0.4643998444080353},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4497404992580414},{"id":"https://openalex.org/C21916231","wikidata":"https://www.wikidata.org/wiki/Q851424","display_name":"Ultra-wideband","level":2,"score":0.4144928455352783},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07813277840614319},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sdf.2013.6698259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sdf.2013.6698259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1675041098","https://openalex.org/W1732153803","https://openalex.org/W1971700856","https://openalex.org/W2037022618","https://openalex.org/W2097108711","https://openalex.org/W2107997467","https://openalex.org/W2109042817","https://openalex.org/W2140251937","https://openalex.org/W2148988914","https://openalex.org/W2336416123","https://openalex.org/W2493409299","https://openalex.org/W6637567945"],"related_works":["https://openalex.org/W2979950214","https://openalex.org/W87609089","https://openalex.org/W2414561716","https://openalex.org/W3024737167","https://openalex.org/W3161199934","https://openalex.org/W2303855011","https://openalex.org/W2312326526","https://openalex.org/W2412578866","https://openalex.org/W3105866016","https://openalex.org/W4312703710"],"abstract_inverted_index":{"For":[0],"security":[1],"applications":[2],"and":[3,22,35],"in":[4,51],"situations":[5],"where":[6],"optical":[7],"sensors":[8],"are":[9,91],"not":[10],"working,":[11],"ultra-wideband":[12],"(UWB)":[13],"radar":[14,47],"is":[15,98],"an":[16,28,40,54,110],"alternative":[17],"technology":[18],"for":[19,30,39],"localization,":[20],"mapping":[21,36,50],"object":[23],"recognition.":[24],"This":[25],"paper":[26],"presents":[27],"approach":[29],"solving":[31],"the":[32,60,63,77,82,86,102,114,117],"simultaneous":[33],"localization":[34],"(SLAM)":[37],"problem":[38,80],"autonomous":[41,111],"robot":[42,112],"with":[43,53,65,76,95,109],"a":[44],"small":[45],"UWB":[46],"array.":[48],"Feature-based":[49],"conjunction":[52],"underlying":[55],"state":[56],"space":[57],"model":[58],"enables":[59],"reconstruction":[61],"of":[62,74,84,104,116],"room":[64],"accuracy":[66],"up":[67],"to":[68,100],"10":[69],"cm.":[70],"Two":[71],"different":[72],"ways":[73],"dealing":[75],"data":[78],"association":[79],"\u2014":[81,90],"task":[83],"sorting":[85],"measured":[87],"time-of-flight":[88],"values":[89],"presented.":[92],"Data":[93],"fusion":[94],"odometry":[96],"information":[97],"proposed":[99],"reduce":[101],"number":[103],"measurement":[105],"steps.":[106],"Experimental":[107],"results":[108],"show":[113],"feasibility":[115],"concept.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}